Sensitivity-based Multifidelity Multidisciplinary Optimization of a Powered Aircraft Subject to a Comprehensive Set of Loads

Abu-Zurayk, Mohammad; Merle, Andrei; Ilić, Časlav; Keye, Stefan; Görtz, Stefan; Schulze, Matthias; Klimmek, Thomas; Kaiser, Christoph; Quero-Martin, David; Häßy, Jannik; Becker, Richard-Gregor; Fröhler, Benjamin; Hartmann, Johannes

doi:10.2514/6.2020-3168

Cited by 14 publications

(12 citation statements)

References 8 publications

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“…The sensitivity-based multi-fidelity approach is described in detail in [16] and is used to optimize the trimmed, powered XRF-1 subject to global aircraft constraints, flutter constraints and a comprehensive set of loads. In terms of the outer shape, a set of 128 design parameters that control the XRF-1 planform, and seven sections along the wing's span are employed as listed in Table 4.…”

Section: B Sensitivity-based Multi-fidelity Approach Xrf-1 Resultsmentioning

confidence: 99%

Overview of Collaborative Multi-Fidelity Multidisciplinary Design Optimization Activities in the DLR Project VicToria

Goertz

Abu-Zurayk

Ilić

et al. 2020

Aiaa Aviation 2020 Forum

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Section: B Sensitivity-based Multi-fidelity Approach Xrf-1 Resultsmentioning

confidence: 99%

Overview of Collaborative Multi-Fidelity Multidisciplinary Design Optimization Activities in the DLR Project VicToria

Goertz

Abu-Zurayk

Ilić

et al. 2020

Aiaa Aviation 2020 Forum

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“…In the general case, GAAM, where the aerodynamic transfer function matrix is given in terms of the reduced complex-valued frequency s * , the partial derivatives must account for the chained function of s * ; see Equation (3). Hence, the partial derivatives of the aerodynamic transfer function matrix in Equations ( 7) and ( 8) expand to…”

Section: Derivatives Of the Aeroelastic Eigenproblemmentioning

confidence: 99%

“…Hence, the eigensensitivities of the aeroelastic eigenproblem facilitate the design process for compliance with flutter constraints as they describe the change in stability by changing design parameters. This applies especially for gradient-based MDO, where sensitivities are required to fulfill imposed constraints and obtain the next iterated design [2,3].…”

Section: Introductionmentioning

confidence: 99%

Effect of Aerodynamic Damping Approximations on Aeroelastic Eigensensitivities

Kaiser

Quero

2022

Aerospace

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Aeroelastic sensitivities for the flutter solution are a crucial component of the multi-disciplinary optimization methods employed in modern aircraft design. This paper derives the aeroelastic sensitivities for different aerodynamic damping approximations—the p-k method, the g method and the generalized aeroelastic analysis method—highlighting the influence of the employed aerodynamic approximation on the required derivatives. The derived formulation for the determination of aeroelastic sensitivities by means of a direct method is verified for the case of a two-degree-of-freedom typical section model, where analytical aeroelastic sensitivities can be analytically obtained. For this and for an additional model, namely the AGARD 445.6 weakened wing, the significant effect of the aerodynamic damping approximation on the aeroelastic sensitivities is shown.

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“…The ambition to take the aero-structural coupling into account in the optimization process therefore implies to rely on a coupled-adjoint approach differentiating the entire coupled analysis. Coupled-adjoint approaches [1] have been successfully demonstrated on several occasions to conduct aeroelastic and aero-structural [2][3][4][5][6][7] studies but restrict the choice of numerical tools, as each of them must be differentiated. Relying on coupled-adjoint also bears an additional numerical cost compared to a standard CFD adjoint approach.…”

Section: Introductionmentioning

confidence: 99%

On the Benefits of Engaging Coupled-Adjoint to Perform High-Fidelity Multipoint Aircraft Shape Optimization

Olivanti

Brézillon

2021

Aiaa Aviation 2021 Forum

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Aircraft shape optimization must be performed with multiple flight conditions in order to produce a robust aerodynamic design. Under these flight conditions, the aircraft is subjected to different aerodynamic loads which translate into different static aeroelastic equilibria. As the optimization proceeds, the external shape is modified and consequently alters each aerostructural coupling. Modeling the latter in the adjoint-based optimization process therefore appears necessary to properly take flexibility effects into consideration, not only to get the right state variables but also to compute consistent coupled sensitivities. Nonetheless, relying on a coupled-adjoint increases the wall-clock time of the optimization process with respect to a more classical uncoupled aerodynamic approach. This paper therefore assesses the benefits of the coupled approach with respect to an uncoupled one, by quantifying them on an industrially-representative long range aircraft test case. A high-fidelity 5-point optimization problem is considered, relying on RANS CFD for the aerodynamics and on a FEM model of the aircraft for the structural analysis. The optimizations consist in minimizing the weighted drag coefficient subject to lift, pitching moment and geometrical constraints with respect to 110 variables controlling the twist law and cross-sectional camber laws. The two approaches are compared on cost efficiency, geometrical proximity and by analyzing the far-field drag breakdown improvements for each point of the problem.

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Sensitivity-based Multifidelity Multidisciplinary Optimization of a Powered Aircraft Subject to a Comprehensive Set of Loads

Cited by 14 publications

References 8 publications

Overview of Collaborative Multi-Fidelity Multidisciplinary Design Optimization Activities in the DLR Project VicToria

Overview of Collaborative Multi-Fidelity Multidisciplinary Design Optimization Activities in the DLR Project VicToria

Effect of Aerodynamic Damping Approximations on Aeroelastic Eigensensitivities

On the Benefits of Engaging Coupled-Adjoint to Perform High-Fidelity Multipoint Aircraft Shape Optimization

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